The Role of TCS in Understanding (AI) Consciousness

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" summary

A formal conscious Turing machine model combines a competition/up‑tree/down‑tree architecture, predictive learning (sleeping‑expert algorithms), homeostats and embodiment, and processors that build a self‑generated Brainish internal language of fused senses. It claims to be buildable, to align with global workspace and IIT by scoring high on feedback and broadcasting, and to explain phenomena: blindsight needs prior sight, inattentional blindness follows weighted attention, change blindness follows limited gist chunks capacity, and the model reproduces the ~250 ms Libet delay via the global broadcast.

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" chapters (7)

1. 0:00Introduction
2. 9:22Consciousness science and CTM
3. 13:32The hard problem of consciousness
4. 17:53Conscious Turing machine specifications
5. 27:35Phenomena explained by CTM
6. 34:04World model and Brainish
7. 38:29Conclusion

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